AAAI Publications, Seventh Artificial Intelligence and Interactive Digital Entertainment Conference

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Detecting Real Money Traders in MMORPG by Using Trading Network
Atsushi Fujita, Hiroshi Itsuki, Hitoshi Matsubara

Last modified: 2011-10-09

Abstract


We have developed a method for detecting real money traders (RMTers) to support the operators of massively multiplayer online role-playing games (MMORPGs). RMTers, who earn currency in the real world by selling properties in the virtual world, tend to form alliances and frequently exchange a huge volume of virtual currency within such a community. The proposed method exploits (1) the trading network, to identify the communities of characters, and (2) the volume of trades, to estimate the likelihood of communities and characters becoming engaged in real money trading. The results of an experiment using actual log data from a commercial MMORPG showed that using the trading network is more effective in detecting RMTers than conventional machine learning methods that assess individual character without referring to the trading network.

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